hamelsmu

#!/usr/bin/env python
# coding: utf-8


# This notebook illustrates the use of a utility, `InferenceWrapper.df_to_emb` that can be used to perform inference in bulk.

# - **checkpointed model** (2.29 GB): 
# `https://storage.googleapis.com/issue_label_bot/model/lang_model/models_22zkdqlr/best_22zkdqlr.pth`

hamelsmu

A collapsible section containing markdown

Click to expand!

Heading

1. A numbered
2. list
   • With some
   • Sub bullets

hamelsmu

<link href="https://unpkg.com/@primer/css/dist/primer.css" rel="stylesheet" />

<div class="Toast">
    <span class="Toast-icon">
      {% octicon info %}
    </span>
    <span class="Toast-content">You can add these components, too!</span>
 </div>

hamelsmu

from vega_datasets import data as vega_data
import pandas as pd
import altair as alt

data = pd.read_json(vega_data.gapminder.url)
data2000 = data.loc[data['year'] == 2000]

chart1 = alt.Chart(data2000).mark_line().encode(
    alt.X('fertility:Q'),

hamelsmu

from nbdev import export2html
from nbdev.export2html import Config, Path, _re_digits

## Monkey Patch Nbdev For Jupyter Blog Posts ##
def _nb2htmlfname(nb_path, dest): 
    if dest is None: dest = Config().doc_path
    return Path(dest)/_re_digits.sub('', nb_path.with_suffix('.md').name)

## apply monkey patch
export2html._nb2htmlfname = _nb2htmlfname

hamelsmu

1. Sally creates this notebook which contain interactive visualizations. She saves the notebook to GitHub.

2. Sally wants to share this report with her colleagues on twitter, preferrably as a blog post. However, she cannot share her notebook via a GitHub link due of the following issues:

   • GitHub doesn't support rendering her interactive visualizations, even when all the code is client side, like the case with Vega-Lite or Altair. (That is why you don't see any visualizations in this notebook on GitHub!)
   • There is no place for colleague to comment on the notebook or provide feedback easily.
   • Sally wants to hide / show code to make the document easier to read, and remove extreanous information. It is impossible to do this without copying her notebook and creating an alternate version.

• Sally needs the ability to hide/show code in collapsable cells in certain

hamelsmu

name: Binder
on: 
  pull_request:
    types: [opened, reopened]

jobs:
  Create-Binder-Badge:
    runs-on: ubuntu-latest
    steps:

hamelsmu

from multiprocessing import Pool
from time import sleep

def f(x):
    sleep(1000) # simulate some computation
    return x*x

if __name__ == '__main__':
    with Pool(8) as p:
        print(p.map(f, range(8)))

hamelsmu

install MLOps

brew install mlops

clone repo as usual

If metadata data.yaml is detected in the root of the repo, the plugin mlops will automatically ask user if they would like to download the data.

> git clone https://github.com/david/ml

hamelsmu

Criteria	@danfrankj	@hamelsmu
Row One
Row Two	-[ ]	-[x]